{"id":2993373,"url":"https://alion.io/job/fphnyc-data-engineer","title":"Data Engineer","company":{"id":2617460,"name":"fphnyc","domain":"fphnyc.org","url":"https://alion.io/company/fphnyc","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"C","score":68,"open_postings":17,"ghost_share":0.529,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Astoria, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Django","optional":true},{"name":"ETL/ELT","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true}],"status":"live","first_seen_at":"2026-08-05T04:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-31T23:56:58Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":87},"description":"Job Title: Data Engineer\nDepartment: Department of Health and Mental Hygiene\nDivision: Center for Population Health and Data Science\nBureau: Data Technology and Strategy\nLocation: 42-09 28th St, Long Island City, NY 11101 \nReports to Title: Mark Alexander\nDirect Reports Title(s): Data Scientist\nSchedule & Hours: M-F, 9am –5pm ; 35 hours per week;\nWorkplace Flexibility Modality: Hybrid, 3 days in office\nWork Environment: Office Environment, occasional travel for meetings and presentations within the NYC boroughs. \nGrant End Date: 6/30/2027\nCreated Date: 6/4/2026\nRevised Date: 6/4/2026\nSalary: $130,000 - $135,000\n\nFLSA Classification: Exempt\n\nWho We Are\nThe Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City.\nOur Culture \nWe embrace a culture of learning, collaboration, innovation, and well-being, where open communication drives our impact.\n\nProgram Overview\nThe Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective public action. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agency wide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers.\n\nPOSITION OVERVIEW\nWe are seeking to fill data engineer positions for integrating and analyzing data collected across critical agency systems. It is expected that each position will work 35 hours per week.\n\nRESPONSIBILITIES\n• Provide data engineering and infrastructure configuration support for complex Python applications\n• Aid migration of complex Python applications from on-premise environments to Azure including transformation of applications to cloud native architecture\n• Build and oversee automated data extraction, transfer, and load processes to support analytics databases\n• Build resources to ingest, extract, or analyze data housed in a data lake environment\n• Design, build, and document scalable hybrid technology architecture using both on-premise and cloud resources on Azure\n• Identify, explore, and help build emerging free, open source technologies\n• Design, implement, test, deploy, update, and document statistical, machine learning, and deep learning models\nPropose and implement improvements to the DOHMH data science infrastructure and processes\n\nQUALIFICATIONS\n3+ years of hands-on experience with Python version 3.x \n3+ years of hands-on experience with SQL databases\n3+ years of hands-on experience with mathematical, statistical, machine learning, or artificial intelligence models in Python\n2+ years of hands-on experience performing data science tasks using cloud-based technologies\n2+ years of experience building Python applications that leverage cloud-based technologies such as docker or Azure Container Apps or Azure App Service\n3+ years of Data Lake analytics platforms such as Azure Synapse or Databricks\nStrong organization and time management skills\nGood written and verbal communication skills\nAbility to work independently as well as part of a team\nUndergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study\n\nPREFERRED SKILLS:\n5+ years of experience performing data science tasks using cloud-based technologies\n5+ years of hands-on experience in Python\n3+ years of experience building applications in Python web frameworks such as FastAPI, Django, or Flask\n3+ years of experience using ETL platforms such as Azure Data Factory or Airflow\nGraduate degree in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a similar field of study\n\nBenefits/ Additional Information:\nPublic Service Loan Forgiveness (PSLF) eligible employer\nGenerous Paid Time Off (PTO) policy\nMedical, dental, and life insurance with low or no employee contribution\nA retirement savings plan with generous employer contribution\nFlexible spending medical and commuter benefits plan\nMeaningful work at an organization striving to advance health equity and social justice\n\nEqual Employment Opportunity Statement\nFPHNY is an equal opportunity employer and prohibits discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status.\nAt-Will Employment Statement\nEmployment with FPHNY is at-will, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause, and with or without notice. This job description does not constitute a contract of employment.\nResidency Requirement \nYou must live in the New York City Tri-state area (NY, NJ, CT) to be considered for a position at FPHNY.\nTo Apply \nClick “Apply Now” and upload an up-to-date resume, including relevant experience for the position.","description_format":"text","description_chars":6284,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Public Health & Prevention"],"lifecycle":[{"event":"open","at":"2026-10-21T10:33:51Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.419,"p_room":0.28,"age_days":87,"expected_fill_days":34,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":135000,"is_top_pay":false},"html_url":"https://alion.io/job/fphnyc-data-engineer","json_url":"https://alion.io/job/fphnyc-data-engineer.json","meta":{"generated_at":"2026-11-01T03:19:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5175,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2617460},"rest":"https://alion.io/mcp/rest/get_company?id=2617460"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffphnyc-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffphnyc-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffphnyc-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fphnyc-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffphnyc-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2993373}},{"tool":"search_jobs","arguments":{"company":"fphnyc.org","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2993373},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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